Lama-cleaner: Image inpainting tool powered by LaMa
This project is mainly used for selfhosting LaMa model, some interaction improvements may be added later.
Quick Start
- Install requirements:
pip3 install -r requirements.txt - Start server:
python3 main.py --device=cuda --port=8080
Development
Fronted
Frontend code are modified from cleanup.pictures, You can experience their great online services here.
- Install dependencies:
cd lama_cleaner/app/ && yarn - Start development server:
yarn dev - Build:
yarn build
Docker
Run within a Docker container. Set the cache_dir to models location path.
Optionally add a -d option to the docker run command below to run as a daemon.
Docker (cpu)
docker build -f Dockerfile -t lamacleaner .
docker run -p 8080:8080 -e cache_dir=/app/models -v models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cpu --port=8080
Docker (gpu)
docker build -f Dockerfile -t lamacleaner .
docker run --gpus all -p 8080:8080 -e cache_dir=/app/models -v models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cuda --port=8080
Then open http://localhost:8080